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GoldenRetriever

GoldenRetriever is a macOS public beta for AI search across videos, audio, and documents in a local media library. It returns sourced answers with timestamps and uses the user's own Gemini API key for AI requests.

GoldenRetriever

About GoldenRetriever

GoldenRetriever is a macOS public beta for AI video and audio search across a local media library. It indexes videos, audio, PDFs, slides, screenshots, scans, Word documents, PowerPoints, images, and plain text so users can search by meaning in plain English.

The product's core distinction is that it works from the original media, not just transcripts. The site says it watches video and hears audio, then returns sourced answers with timestamps, while keeping originals on disk and using the user's own Gemini API key for AI requests.

Core capabilities

Natural-language search across your library

Indexes media and documents on your Mac so you can search across them in plain English, including queries that work across multiple file types.

Multimodal video understanding

Understands videos by their visual content, such as slides on screen, demos, and whiteboard sessions, rather than only the spoken transcript.

Audio-aware retrieval

Processes audio directly so emphasis, tone, and context remain part of the searchable record for podcasts, meetings, coaching sessions, and voice memos.

Search across documents and images

Supports PDFs, Word documents, PowerPoints, images, and plain text alongside media files, creating one searchable layer across different formats.

Cited answers with timestamps

Returns sourced answers with timestamps so users can trace a response back to the underlying recording, slide, or document context.

Mac beta with local originals

Runs as a macOS public beta and uses the user's own Gemini API key for AI traffic, while original files stay on disk.

Practical ways to use GoldenRetriever

  • Revisit exact moments in recordings

    Find a specific moment in a recorded meeting, call, or interview by asking for the topic, wording, or decision you remember, then jump back to the timestamped source.

  • Locate forgotten documents and visuals

    Search across decks, PDFs, screenshots, scans, and notes when you remember the idea but not the file name or folder, and retrieve the relevant document by meaning.

  • Search by what appears on screen

    Use the visual context in videos to find slides, whiteboards, demos, or on-screen elements that a transcript would miss.

  • Search audio with tone and context

    Work through podcasts, lectures, coaching sessions, and voice memos by searching the spoken content plus the audio signal's broader context.

  • Synthesize answers across formats

    Ask across mixed archives for a single answer that may span a training video, slide deck, and voice memo, then verify each part from the cited sources.

Pros and Cons

Pros

  • Searches original video and audio content, not just transcripts.
  • Supports many common file types in one library.
  • Returns sourced answers with timestamps for verification.
  • Keeps original files on disk.
  • Uses the user's own Gemini API key for AI traffic, billed directly by Google.

Cons

  • The site only shows a macOS beta, so platform support appears limited.
  • Pricing details are not available on the pricing URL provided, so commercial terms are unclear from the source.

FAQ

What does GoldenRetriever do?

GoldenRetriever indexes media and documents on a Mac and lets you ask questions in plain English. It returns sourced answers with timestamps so you can jump back to the original moment or file.

What platform is it available on?

The source material says it is a public beta for macOS. The home page invites users to download the beta on Mac.

What file types can it search?

The home page says it works with videos, audio, PDFs, slides, screenshots, scans, Word documents, PowerPoints, images, and plain text.

How does it handle my files and AI usage?

The product says AI traffic uses the user's own Gemini API key, billed by Google directly. It also says originals stay on disk.

How are answers returned?

The site says you can ask questions across everything you have and receive answers with sources and timestamps, rather than relying only on transcripts.

Quick Facts

Category
AI video and audio search
Platform
macOS public beta
Primary use
Search a local media library by meaning
Supported content
Videos, audio, PDFs, slides, screenshots, scans, documents, images, plain text
Output
Sourced answers with timestamps
Website
goldenretriever.ai